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THE IMPACT OF POLITICAL DEEPFAKE CONTENT ON DECLINING PUBLIC TRUST: A QUANTITATIVE ANALYSIS OF FIRST-TIME VOTERS ON SOCIAL MEDIA Restu Widyo Sasongko; Samuel Indrayana; Epiphani Imelda Yosephin Palit; Rukoyah; Sandra Ivonnie Telussa
JURNAL ILMIAH EDUNOMIKA Vol. 10 No. 2 (2026): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v10i2.19965

Abstract

The evolution of artificial intelligence has given rise to the deepfake phenomenon, a deep learning algorithm-based audio-visual manipulation capable of producing highly realistic political disinformation. This study aims to quantitatively examine the impact of exposure to political deepfake content on social media on the decline of public trust, with a specific focus on the segment of first -time voters. Based on the theoretical foundation of Information Processing Theory and the concept of Liar's Dividend, first-time voters are identified as the most vulnerable group and active consumers of digital political information (Chesney & Citron, 2019). This study uses a quantitative approach with an explanatory survey method on a sample of first-time voters spread across several urban areas. Primary data were collected through a structured Likert-scale questionnaire and analyzed using the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS). The results are expected to show that the frequency of exposure and the perceived realism of political deepfake content have a significant negative influence on first-time voters' trust in political institutions and the integrity of the general election process. The manipulative nature of content not only degrades trust in specific political figures but also fuels systemic skepticism that undermines democratic legitimacy (Vaccari & Chadwick, 2020). These findings provide an important contribution to the growing literature on digital disinformation and urge policymakers to formulate new regulatory and media literacy frameworks to protect the integrity of young voters in the attention economy.
Utilization Of the Internet of Things to Improve the Quality of Services in Sub-Districts/Villages in Indonesia Hendri Syahputra; Samuel Indrayana; Rudy Irwansyah; Joice Soraya; Mesak Yandri Masela
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 1 No. 3 (2022): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1671

Abstract

The implementation of the Internet of Things (IoT) at the smallest government levels, such as sub-districts and villages, is key to digital transformation towards Smart Villages in Indonesia. This study aims to analyze the use of IoT technology to improve the efficiency and transparency of public services in sub-district areas. Using a qualitative approach and a literature review, this article explores how smart sensors, cloud-based data management systems, and self-service applications can reduce bureaucratic delays. The analysis shows that IoT integration can speed up administrative processing times by up to 40% and significantly increase the public satisfaction index. However, challenges such as digital infrastructure gaps and technological literacy in rural areas remain major obstacles. This study recommends collaboration between central and regional governments in standardizing IoT infrastructure and creating inclusive, responsive public services that meet citizens' needs in the industry 4.0 era.